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  <div class="headertitle"><div class="title">PointSetKernel.h</div></div>
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<a href="_point_set_kernel_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Applies a kernel to two pointsets and comptues the average response</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \author      T.Glasmachers, O. Krause, M. Tuma</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \date        2010, 2011</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> *</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> */</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#ifndef SHARK_MODELS_KERNELS_POINT_SET_KERNEL_H</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#define SHARK_MODELS_KERNELS_POINT_SET_KERNEL_H</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_kernel_function_8h.html" title="abstract super class of all kernel functions">shark/Models/Kernels/AbstractKernelFunction.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span> </div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment"></span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">/// \brief Normalized version of a kernel function</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">///</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">/// For a positive definite kernel k, the normalized kernel</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">/// \f[ \tilde k(x, y) := \frac{k(x, y)}{\sqrt{k(x, x) \cdot k(y, y)}} \f]</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// is again a positive definite kernel function.</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// \ingroup kernels</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputType=RealVector&gt;</div>
<div class="foldopen" id="foldopen00051" data-start="{" data-end="};">
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html">   51</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_point_set_kernel.html" title="Normalized version of a kernel function.">PointSetKernel</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction</a>&lt;typename Batch&lt;InputType&gt;::type &gt;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>{</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;typename Batch&lt;InputType&gt;::type</a>&gt; <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">base_type</a>;</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    </div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    <span class="keyword">struct </span>InternalState: <span class="keyword">public</span> <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>{</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        std::vector&lt;boost::shared_ptr&lt;State&gt; &gt; state;</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        </div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        <span class="keywordtype">void</span> resize(std::size_t sizeX1,std::size_t sizeX2, <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <span class="keyword">const</span>* base){</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>            state.resize(sizeX1 * sizeX2);</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            </div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="keywordflow">for</span>(std::size_t i = 0; i != state.size();++i){</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>                state[i] = base-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#a9057a4a71b4d28febb171e09bbd22c07" title="Creates an internal state of the kernel.">createState</a>();</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>            } </div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        }</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    };</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#aea5b62dc8038d6ad9b70f4dde9c2e1d3">   68</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#adbf700c2ece7236c70cef4b88777a733" title="batch input type of the kernel">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#aea5b62dc8038d6ad9b70f4dde9c2e1d3">BatchInputType</a>;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">   69</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b" title="Const references to BatchInputType.">base_type::ConstBatchInputReference</a> <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a>;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#a5e1058bfa96b254b7c34cc21362bdd8b">   70</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3" title="Const references to InputType.">base_type::ConstInputReference</a> <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a5e1058bfa96b254b7c34cc21362bdd8b">ConstInputReference</a>;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    </div>
<div class="foldopen" id="foldopen00072" data-start="{" data-end="}">
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#aacab68230104cfe226d522632b42082c">   72</a></span>    <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#aacab68230104cfe226d522632b42082c">PointSetKernel</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a>* base) : <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>(base){</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>( base != NULL );</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        <span class="keywordflow">if</span> ( <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#ac0c799ac75db64200256ed50d34d2411">hasFirstParameterDerivative</a>() ) </div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            this-&gt;<a class="code hl_variable" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a>|=<a class="code hl_enumvalue" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8" title="is the kernel differentiable w.r.t. its parameters?">base_type::HAS_FIRST_PARAMETER_DERIVATIVE</a>;</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    }</div>
</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span> </div>
<div class="foldopen" id="foldopen00078" data-start="{" data-end="}">
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#adee6fc3ed565f4578820e18e72dba569">   78</a></span>    std::string <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#adee6fc3ed565f4578820e18e72dba569" title="returns the name of the object">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;PointSetKernel&lt;&quot;</span> + <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_nameable.html#a9893f99314de30cd472e649c235d0db4" title="returns the name of the object">name</a>() + <span class="stringliteral">&quot;&gt;&quot;</span>; }</div>
</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span> </div>
<div class="foldopen" id="foldopen00081" data-start="{" data-end="}">
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#ad4656384d3ee3a6a5bee3466ae17a96a">   81</a></span>    RealVector <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ad4656384d3ee3a6a5bee3466ae17a96a" title="Return the parameter vector.">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db" title="Return the parameter vector.">parameterVector</a>();</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    }</div>
</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span> </div>
<div class="foldopen" id="foldopen00085" data-start="{" data-end="}">
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#ab6f1b0f1b32868f10144497e6ff3316e">   85</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ab6f1b0f1b32868f10144497e6ff3316e" title="Set the parameter vector.">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(newParameters);</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>    }</div>
</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span> </div>
<div class="foldopen" id="foldopen00089" data-start="{" data-end="}">
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#ae08978c6c6ddadb0aee53cbcee3979f7">   89</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ae08978c6c6ddadb0aee53cbcee3979f7" title="Return the number of parameters.">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>();</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>    }</div>
</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    <span class="comment"></span></div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment">    ///\brief creates the internal state of the kernel</span></div>
<div class="foldopen" id="foldopen00094" data-start="{" data-end="}">
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#add8df8653ba9dd2adfcaac7e5c44afac">   94</a></span><span class="comment"></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#add8df8653ba9dd2adfcaac7e5c44afac" title="creates the internal state of the kernel">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        InternalState* state = <span class="keyword">new</span> InternalState();</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(state);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    }</div>
</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span><span class="comment"></span> </div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span><span class="comment">    ///evaluates \f$ k(x,y) \f$</span></div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">    /// calculates</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment">    /// \f[ \tilde k(x, y) := \frac{k(x, y)}{\sqrt{k(x, x) \cdot k(y, y)}} \f]</span></div>
<div class="foldopen" id="foldopen00103" data-start="{" data-end="}">
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#af582b3ac523870a401442b60cbb2cbf7">  103</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#af582b3ac523870a401442b60cbb2cbf7">eval</a>(<a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a5e1058bfa96b254b7c34cc21362bdd8b">ConstInputReference</a> x1, <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a5e1058bfa96b254b7c34cc21362bdd8b">ConstInputReference</a> x2)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        RealMatrix response = (*m_base)(x1,x2);</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        </div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordflow">return</span> sum(response)/(response.size1() * response.size2());</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>    }</div>
</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>    </div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    </div>
<div class="foldopen" id="foldopen00110" data-start="{" data-end="}">
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#adfef05b52b18fb9fb8988e9585e2ff71">  110</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#adfef05b52b18fb9fb8988e9585e2ff71">eval</a>(<a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX1, <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX2, RealMatrix&amp; result, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        InternalState&amp; s = state.<a class="code hl_function" href="structshark_1_1_state.html#a9847e65e063245c6b02371c8b84f8da3" title="Safely downcast State to it&#39;s derived type.">toState</a>&lt;InternalState&gt;();</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        </div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        std::size_t sizeX1 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX1);</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        std::size_t sizeX2 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX2);</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>        s.resize(sizeX1,sizeX2,<a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>);</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>        result.resize(sizeX1,sizeX2);</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        RealMatrix response;</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != sizeX1; ++i){</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != sizeX2; ++j){</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c" title="Evaluates the kernel function.">eval</a>(<a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX1,i),<a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX2,j),response,*s.state[i*sizeX2+j]);</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                result(i,j) = sum(response)/(response.size1() * response.size2());</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>            }</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        }</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    }</div>
</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    </div>
<div class="foldopen" id="foldopen00126" data-start="{" data-end="}">
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#ac5a66a31e62adca73217e55a4217f324">  126</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ac5a66a31e62adca73217e55a4217f324">eval</a>(<a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX1, <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX2, RealMatrix&amp; result)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        std::size_t sizeX1 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX1);</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        std::size_t sizeX2 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX2);</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        result.resize(sizeX1,sizeX2);</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        </div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        RealMatrix response;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != sizeX1; ++i){</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != sizeX2; ++j){</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>                <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c" title="Evaluates the kernel function.">eval</a>(<a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX1,i),<a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX2,j),response);</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>                result(i,j) = sum(response)/(response.size1() * response.size2());</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>            }</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        }</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span> </div>
<div class="foldopen" id="foldopen00140" data-start="{" data-end="}">
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#ae18f754e67f7b59cade8e26437a1cf39">  140</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ae18f754e67f7b59cade8e26437a1cf39">weightedParameterDerivative</a>(</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>        <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX1, </div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <a class="code hl_typedef" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">ConstBatchInputReference</a> <span class="keyword">const</span>&amp; batchX2, </div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        RealMatrix <span class="keyword">const</span>&amp; coefficients,</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state, </div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        RealVector&amp; gradient</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    )<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        gradient.resize(<a class="code hl_function" href="classshark_1_1_point_set_kernel.html#ae08978c6c6ddadb0aee53cbcee3979f7" title="Return the number of parameters.">numberOfParameters</a>());</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        InternalState <span class="keyword">const</span>&amp; s = state.<a class="code hl_function" href="structshark_1_1_state.html#a9847e65e063245c6b02371c8b84f8da3" title="Safely downcast State to it&#39;s derived type.">toState</a>&lt;InternalState&gt;();</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        std::size_t sizeX1 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX1);</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        std::size_t sizeX2 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(batchX2);</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        </div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != sizeX1; ++i){</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != sizeX2; ++j){</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>                <span class="keyword">auto</span> x1 = <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX1,i);</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>                <span class="keyword">auto</span> x2 = <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(batchX2,j);</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>                std::size_t size1 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(x1);</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>                std::size_t size2 = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(x2);</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>                RealMatrix setCoeff(size1,size2, coefficients(i,j)/(size1 * size2));</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>                RealVector grad;</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>                <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>-&gt;<a class="code hl_function" href="classshark_1_1_abstract_kernel_function.html#a48557b9834bc06ccb4e005ce441904c8" title="Computes the gradient of the parameters as a weighted sum over the gradient of all elements of the ba...">weightedParameterDerivative</a>(x1,x2,setCoeff,*s.state[i*sizeX2+j],grad);</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>                noalias(gradient) += grad;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>            }</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        }</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    }</div>
</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span> </div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span><span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span><span class="comment">    /// kernel to normalize</span></div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"><a class="line" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678">  168</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a>* <a class="code hl_variable" href="classshark_1_1_point_set_kernel.html#aedca27c7faadd95e9fac52003efba678" title="kernel to normalize">m_base</a>;</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>};</div>
</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span> </div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>}</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="preprocessor">#endif</span></div>
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